class_docstr: Generic class to create the tensorflow graphs for 'ner_dl', 'generic_classifier', 'assertion_dl', 'relation_extraction' annotators in spark-nlp healthcare. In version 1.1
  Examples
  --------
  >>> from sparknlp.training.tfgraphs import tf_graph
  >>>
  >>> tf_graph.get_models()
code: def get_build_params_with_defaults(self):
      build_params = self.get_build_params()
      req_build_params = self.get_model_build_params()
  
      for req_param in req_build_params:
          if (req_param not in build_params) and (
              req_build_params[req_param] is not None
          ):
              build_params[req_param] = req_build_params[req_param]
  
      return build_params
  
imports: import os
  import re
  from sparknlp.internal import _ResourceHelper_moveFile
  from sparknlp.training._tf_graph_builders.ner_dl.create_graph import create_graph
label_desc: Use image node_id 5 for calling the TFGraphBuilder obj's underlying member method code with example usage: obj.get_build_params_with_defaults() and returns: build_params